Evidence map›Paper›PMID 34430374›Full record

ReviewTranslational lung cancer research2021

Diagnostic and prognostic biomarkers in oligometastatic non-small cell lung cancer: a literature review.

Diego Cortinovis, Umberto Malapelle, Fabio Pagni, Alessandro Russo, Giuseppe Luigi Banna, Elisa Sala, Christian Rolfo

Open access · diamondAbstract readReview
In one paragraph

Review in Translational lung cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 3 countries.

Diego CortinovisSC Medical Oncology/SS Lung Unit, ASST-Monza San Gerardo Hospital, Monza, Italy.
Umberto MalapelleDepartment of Public Health, University of Naples Federico II, Naples, Italy.
Fabio PagniDepartment of Anatomic Pathology, University of Milano-Bicocca, Milan, Italy.
Alessandro RussoMedical Oncology Unit, A.O. Papardo, Messina, Italy.
Giuseppe Luigi BannaDepartment of Oncology, Portsmouth Hospitals University NHS Trust, Portsmouth, UK.
Elisa SalaSC Medical Oncology/SS Lung Unit, ASST-Monza San Gerardo Hospital, Monza, Italy.
Christian RolfoMarlene and Stewart Greenbaum Comprehensive Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA.
Azienda Ospedaliera San Gerardo · ITAzienda Ospedaliera Ospedali Riuniti Papardo Piemonte · ITPortsmouth Hospitals NHS Trust · GBUniversity of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer CenterUniversity of Milano-Bicocca · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis review aims to summarize the possibilities of recently discovered molecular diagnostic techniques in lung cancer, by evaluating their impact on diagnosis, monitoring, and prognosis in oligometastatic disease.

backgroundOligometastatic non-small cell lung cancer (OM-NSCLC) is currently defined based on morphological rather than biological features. Major advances in the detection of molecular biomarkers in cell-free tumoral DNA and the models of oncogene addiction make as feasible an early diagnosis and guide the therapeutic decision-making progress to improve the prognosis.

methodsThis narrative review EXAMINES current approaches of diagnosis, monitoring, and prognosis of OM-NSCLC and describes the fast-evolving therapeutic scenario of this disease. We provide an overview of the powerful capability of liquid biopsy techniques applied to blood and fluid and we focus on the technological advancement of circulant biomolecular factors in OM NSCLC pathology, starting from apparently simpler models such as oncogene addicted tumors to evaluate themselves in the light of treatment with immune-checkpoint inhibitors.

conclusionsA better understanding of spatial and temporal evolution of oligometastatic diseases would contribute to a more accurate diagnosis and tailored treatment. Data from prospective clinical trials in the early stage of disease, coupled with knowledge of genetic characteristics of lung tumors, are warranted. These efforts would lead to improving the possibility to eradicate the residual disease in these low burden tumoral settings, thus enhancing the definitive cure perspectives.

Indexed as

Circulating biomarkerslung canceroligometastatic

Identifiers

PMID34430374
PMCPMC8350105
OpenAlexW3179945975

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.